Dashboard Mode - Why dataflows centralize data preparation
Business Question
How can centralizing data preparation with dataflows improve consistency and efficiency in reporting?
How can centralizing data preparation with dataflows improve consistency and efficiency in reporting?
| OrderID | Customer | Region | Product | Quantity | UnitPrice | OrderDate |
|---|---|---|---|---|---|---|
| 1001 | Alice | East | Widget | 10 | 15 | 2024-01-10 |
| 1002 | Bob | West | Gadget | 5 | 20 | 2024-01-12 |
| 1003 | Charlie | East | Widget | 7 | 15 | 2024-01-15 |
| 1004 | Diana | North | Gizmo | 3 | 25 | 2024-01-20 |
| 1005 | Eva | West | Widget | 8 | 15 | 2024-01-22 |
Total Sales = SUMX(Sales, Sales[Quantity] * Sales[UnitPrice])SalesAmount = Quantity * UnitPrice+----------------------+---------------------+ | Total Sales | Sales by Region | | (KPI Card) | (Bar Chart) | +----------------------+---------------------+ | Cleaned Sales Data Table | +-------------------------------------------------+
Filter by Region updates the Bar Chart and the Cleaned Sales Data Table to show only selected regions. The Total Sales KPI updates to reflect the sum for the filtered data.
Because dataflows prepare data centrally, all reports and visuals use the same cleaned and consistent data source, ensuring all components update correctly and consistently.
If you add a filter for Region = East, which components update and what changes occur?